Literature DB >> 24142997

Next-generation sequencing-based multigene mutational screening for acute myeloid leukemia using MiSeq: applicability for diagnostics and disease monitoring.

Rajyalakshmi Luthra1, Keyur P Patel, Neelima G Reddy, Varan Haghshenas, Mark J Routbort, Michael A Harmon, Bedia A Barkoh, Rashmi Kanagal-Shamanna, Farhad Ravandi, Jorge E Cortes, Hagop M Kantarjian, L Jeffrey Medeiros, Rajesh R Singh.   

Abstract

Routine molecular testing in acute myeloid leukemia involves screening several genes of therapeutic and prognostic significance for mutations. A comprehensive analysis using single-gene assays requires large amounts of DNA, is cumbersome and timely consolidation of results for clinical reporting is challenging. High throughput, next-generation sequencing platforms widely used in research have not been tested vigorously for clinical application. Here we describe the clinical application of MiSeq, a next-generation sequencing platform to screen mutational hotspots in 54 cancer-related genes including genes relevant in acute myeloid leukemia (NRAS, KRAS, FLT3, NPM1, DNMT3A, IDH1/2, JAK2, KIT and EZH2). We sequenced 63 samples from patients with acute myeloid leukemia/myelodysplastic syndrome using MiSeq and compared the results with those obtained using another next-generation sequencing platform, Ion-Torrent Personal Genome Machine and other conventional testing platforms. MiSeq detected a total of 100 single nucleotide variants and 23 NPM1 insertions that were confirmed by Ion Torrent or conventional platforms, indicating complete concordance. FLT3-internal tandem duplications (n=10) were not detected; however, re-analysis of the MiSeq output by Pindel, an indel detection algorithm, did detect them. Dilution studies of cancer cell-line DNA showed that the quantitative accuracy of mutation detection was up to an allelic frequency of 1.5% with a high level of inter- and intra-run assay reproducibility, suggesting potential utility for monitoring response to therapy, clonal heterogeneity and evolution. Examples demonstrating the advantages of MiSeq over conventional platforms for disease monitoring are provided. Easy work-flow, high throughput multiplexing capability, 4-day turnaround time and simultaneous assessment of routinely tested and emerging markers make MiSeq highly applicable for clinical molecular testing in acute myeloid leukemia.

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Year:  2013        PMID: 24142997      PMCID: PMC3943309          DOI: 10.3324/haematol.2013.093765

Source DB:  PubMed          Journal:  Haematologica        ISSN: 0390-6078            Impact factor:   9.941


  39 in total

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5.  TP53 alterations in acute myeloid leukemia with complex karyotype correlate with specific copy number alterations, monosomal karyotype, and dismal outcome.

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Journal:  N Engl J Med       Date:  2010-11-10       Impact factor: 91.245

Review 7.  The evolving molecular genetic landscape in acute myeloid leukaemia.

Authors:  Mathijs A Sanders; Peter J M Valk
Journal:  Curr Opin Hematol       Date:  2013-03       Impact factor: 3.284

8.  High-throughput, high-fidelity HLA genotyping with deep sequencing.

Authors:  Chunlin Wang; Sujatha Krishnakumar; Julie Wilhelmy; Farbod Babrzadeh; Lilit Stepanyan; Laura F Su; Douglas Levinson; Marcelo A Fernandez-Viña; Ronald W Davis; Mark M Davis; Michael Mindrinos
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-15       Impact factor: 11.205

9.  A pilot study of rapid benchtop sequencing of Staphylococcus aureus and Clostridium difficile for outbreak detection and surveillance.

Authors:  David W Eyre; Tanya Golubchik; N Claire Gordon; Rory Bowden; Paolo Piazza; Elizabeth M Batty; Camilla L C Ip; Daniel J Wilson; Xavier Didelot; Lily O'Connor; Rochelle Lay; David Buck; Angela M Kearns; Angela Shaw; John Paul; Mark H Wilcox; Peter J Donnelly; Tim E A Peto; A Sarah Walker; Derrick W Crook
Journal:  BMJ Open       Date:  2012-06-06       Impact factor: 2.692

10.  Mutation patterns of 16 genes in primary and secondary acute myeloid leukemia (AML) with normal cytogenetics.

Authors:  Marta Fernandez-Mercado; Bon Ham Yip; Andrea Pellagatti; Carwyn Davies; María José Larrayoz; Toshinori Kondo; Cristina Pérez; Sally Killick; Emma-Jane McDonald; María Dolores Odero; Xabier Agirre; Felipe Prósper; María José Calasanz; James S Wainscoat; Jacqueline Boultwood
Journal:  PLoS One       Date:  2012-08-09       Impact factor: 3.240

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  73 in total

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Journal:  Blood       Date:  2017-08-03       Impact factor: 22.113

Review 2.  Molecular therapy for acute myeloid leukaemia.

Authors:  Catherine C Coombs; Martin S Tallman; Ross L Levine
Journal:  Nat Rev Clin Oncol       Date:  2015-12-01       Impact factor: 66.675

3.  Targeted next-generation sequencing of circulating cell-free DNA vs bone marrow in patients with acute myeloid leukemia.

Authors:  Nicholas J Short; Keyur P Patel; Maher Albitar; Miguel Franquiz; Rajyalakshmi Luthra; Rashmi Kanagal-Shamanna; Feng Wang; Rita Assi; Guillermo Montalban-Bravo; Jairo Matthews; Wanlong Ma; Sanam Loghavi; Koichi Takahashi; Ghayas C Issa; Steven M Kornblau; Elias Jabbour; Guillermo Garcia-Manero; Hagop M Kantarjian; Zeev Estrov; Farhad Ravandi
Journal:  Blood Adv       Date:  2020-04-28

4.  Comparison of custom capture for targeted next-generation DNA sequencing.

Authors:  Eric Samorodnitsky; Jharna Datta; Benjamin M Jewell; Raffi Hagopian; Jharna Miya; Michele R Wing; Senthilkumar Damodaran; Juliana M Lippus; Julie W Reeser; Darshna Bhatt; Cynthia D Timmers; Sameek Roychowdhury
Journal:  J Mol Diagn       Date:  2015-01       Impact factor: 5.568

5.  Characterization of gene mutations and copy number changes in acute myeloid leukemia using a rapid target enrichment protocol.

Authors:  Niccolò Bolli; Nicla Manes; Thomas McKerrell; Jianxiang Chi; Naomi Park; Gunes Gundem; Michael A Quail; Vijitha Sathiaseelan; Bram Herman; Charles Crawley; Jenny I O Craig; Natalie Conte; Carolyn Grove; Elli Papaemmanuil; Peter J Campbell; Ignacio Varela; Paul Costeas; George S Vassiliou
Journal:  Haematologica       Date:  2014-11-07       Impact factor: 9.941

6.  Clinical Evaluation of a Novel Nine-Gene Panel for Ion Torrent PGM Sequencing of Myeloid Malignancies.

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Review 7.  Acute Myeloid Leukemia: How Do We Measure Success?

Authors:  Joshua P Sasine; Gary J Schiller
Journal:  Curr Hematol Malig Rep       Date:  2016-12       Impact factor: 3.952

8.  A randomized phase 2 study of idarubicin and cytarabine with clofarabine or fludarabine in patients with newly diagnosed acute myeloid leukemia.

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9.  Parallel targeted next generation sequencing of childhood and adult acute myeloid leukemia patients reveals uniform genomic profile of the disease.

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Journal:  Tumour Biol       Date:  2016-07-27

10.  Cancer Driver Log (CanDL): Catalog of Potentially Actionable Cancer Mutations.

Authors:  Senthilkumar Damodaran; Jharna Miya; Esko Kautto; Eliot Zhu; Eric Samorodnitsky; Jharna Datta; Julie W Reeser; Sameek Roychowdhury
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